[Hiring] Solutions Engineer @Cellular Sales

Role Description

As a Solutions Engineer, you will serve as a bridge between business stakeholders and technology solutions, applying your expertise to evaluate organizational challenges and determine the most appropriate technical approach. This role focuses specifically on AI/ML technologies, assessing whether problems are best addressed by solutions such as:

• Image recognition
• ML forecasting
• LLM prompting
• Agentic workflows
• Deterministic or data-driven approaches

Cellular Sales is in the early stages of its AI adoption journey, and this role will work closely alongside an Enterprise Architect to:

• Establish patterns
• Evaluate emerging tooling
• Develop repeatable solutions that can scale across the organization

The work is intentionally exploratory, with a practical focus on delivering tangible business value at each stage. You will:

• Lead discovery conversations with departments
• Design and build proof-of-concept solutions leveraging cloud AI APIs, serverless architectures, and modern integration patterns
• Guide the organization in responsible, effective adoption of AI tooling
• Ensure that prototypes are secure, well-governed, and grounded in practical business value before any investment in full-scale development

Qualifications

• High School diploma or GED
• 5+ years of IT infrastructure or software engineering experience
• 3+ years of hands-on experience with cloud platforms (AWS, Azure, or Google)
• 1+ years of direct experience building solutions using AI/ML APIs or frameworks
• Demonstrated experience evaluating and prototyping solutions across multiple technology approaches

Requirements

• Experience with cloud platforms, preferably AWS, and/or Azure
• Experience with serverless compute (AWS Lambda, Azure Functions) and API gateway patterns
• Experience with message queuing services (AWS SQS/SNS, Azure Service Bus, or similar)
• Experience with Python and/or TypeScript for scripting, API integration, and lightweight application development
• Experience with REST and/or GraphQL API design and consumption
• Experience developing lightweight frontend prototypes using React, Angular, or similar frameworks for demonstration and stakeholder review purposes
• Experience with CI/CD pipelines and version control (Git)
• Experience with containerization (Docker) and basic Kubernetes concepts
• Familiarity with cloud AI/ML services such as AWS Bedrock, AWS SageMaker, Azure OpenAI, or Azure ML
• Familiarity with building and orchestrating LLM-based workflows including agents, tool use, and retrieval-augmented generation (RAG)
• Familiarity with classical ML use cases including image recognition, forecasting, classification, and anomaly detection
• Familiarity with prompt engineering techniques and LLM safety and guardrail patterns
• Familiarity with data pipeline patterns or ETL processes, particularly for preparing data for AI consumption
• AWS Certified: Solutions Architect Associate or Professional, Machine Learning Specialty, or Developer Associate
• Microsoft Certified: Azure Solutions Architect Expert, Azure Developer Associate, or Azure AI Engineer Associate
• Ability to assess total cost of ownership for AI prototypes, including API token costs, compute, and storage
• Strong documentation and technical writing skills

Benefits

• Salary Grade/Level/Family/Range: $100,000 - $150,000 annually depending on experience and skill level

Company Description

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.